AI Tool Revolutionizes Virus Discovery in China, Australia, and Hong Kong

Wednesday, 9 October 2024, 18:13

Virus species discovery has taken a groundbreaking leap with a Chinese AI tool that identifies new RNA viruses at remarkable speed. Researchers revealed the discovery of nearly 162,000 new virus species using a deep learning algorithm developed by Alibaba Cloud. The study emphasizes the diverse environments where these viruses thrive, including hot springs, enhancing our understanding of viral ecosystems.
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AI Tool Revolutionizes Virus Discovery in China, Australia, and Hong Kong

Virus Species Revolutionized by AI Tool

An artificial intelligence tool has assisted scientists in uncovering unknown virus species at unprecedented speeds. Researchers from China, Hong Kong, and Australia have revealed the discovery of nearly 162,000 new RNA virus species across various environments, including hot springs and hydrothermal vents.

Deep Learning Algorithm Drives Discovery

By analyzing previously unrecognized genetic sequences from databases, the machine learning tool identifies whether a sequence represents an RNA virus species in less than a second. This groundbreaking technology, developed by the Alibaba Cloud Intelligence team in collaboration with a team of virologists, significantly enhances virus discovery efforts.

Impact on Future Research

The AI tool not only speeds up virus discovery but also delves into previously unidentified virus species, including those in extreme environments. Co-lead author Shi Mang, a professor at the Sun Yat-sen University School of Medicine, stated that this innovation addresses the issue of unidentified sequences referred to as 'dark matter' in scientific research.

  • The study lays groundwork for understanding virus diversity.
  • Future research on virus-host interactions is now possible.
  • Model updates and new AI technologies enhance biological exploration.

This study represents the largest virus species discovery reported and signifies a major leap in our ability to explore viral diversity in various ecosystems.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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